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Word Cloud Generator

データ画像文章

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入力

自動処理

文章 *

Shape & Layout

形状

Canvas Size

Max Words: 100

Min Font Size (px): 14

Max Font Size (px): 80

回転

スタイル

Color Palette

Font Family

背景

Filtering

Exclude Common Stop Words

大文字と小文字を区別する

最小単語長

Custom Exclusions

Comma-separated list of additional words to exclude.

出力

クライアント側

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ガイド

Word Cloud Generator

Paste any block of text and instantly turn it into a frequency-weighted word cloud. Bigger words appear more often, and you can shape, color, and rotate the layout — then download the result as a high-resolution PNG or a clean, infinitely scalable SVG.

使用方法

Paste or type your text into the input box (transcripts, articles, reviews, notes — anything works).
[表示モード]を選択してください shape (rectangle, circle, or ellipse) and a canvas size.
調整する max words, font size rangeと、 rotation sliders until the layout feels right.
[ブラウザのchrome]を選択し、 color palette と font family, then tweak the background color if needed.
を使用して、よく使用されるヘッダーをデフォルト値とともに挿入します。認証セクションで認証タイプと認証情報を設定し、カスタムヘッダーを手動で追加します。curl、Postman、またはコードで使用するための完全なヘッダーセットをコピーします。 filtering options to skip common stop words, set a minimum word length, or exclude your own custom words.
クリック Shuffle to reroll the random layout, then export with PNG (1x–4x) or SVGA.

機能

Frequency-weighted sizing – Bigger words appear more often; smaller words still get visual presence via a square-root scale.
Three layout shapes – Rectangle, circle, and ellipse with collision-aware spiral packing so no two words overlap.
Seven color palettes – Vibrant, pastel, ocean, sunset, forest, monochrome, and grayscale, plus a customizable background color.
Configurable rotation – Keep everything horizontal, mix in 90° verticals, or scatter words at random angles.
Smart filtering – Built-in English stop-word list, custom exclusions, case sensitivity, and minimum word length.
Multiple fonts – Sans-serif, serif, monospace, display, and handwriting styles.
高解像度PNGエクスポート – Render at 1x, 2x, 3x, or 4x for sharp print or social media output.
True vector SVG export – Lossless, editable in Illustrator / Figma / Inkscape, perfect for posters and presentations.
Shuffle button – Re-roll the layout instantly without losing your settings.
100%クライアントサイド – Your text never leaves the browser; everything runs locally in JavaScript.

一般的な使用例

Content analysis – Spot dominant themes in articles, transcripts, customer reviews, or research notes at a glance.
Presentations & reports – Add a striking visual summary to slides, executive dashboards, or marketing decks.
Social media graphics – Generate eye-catching imagery from quotes, hashtags, or trending topics.
教育 – Visualize vocabulary, summarize chapters, or analyze speeches in the classroom.
Survey results – Turn open-ended responses into an at-a-glance theme map.
Personal projects – Word clouds from journals, song lyrics, or favorite books make great prints and gifts.

 よくある質問

What is a word cloud and how does it represent text?

A word cloud is a visualization where each word from a body of text is drawn at a size proportional to how often it appears. Common words get larger, rare words stay small, and at a glance the reader can identify the dominant themes without reading the source material. It is a form of weighted typography where frequency replaces the usual linear order of a paragraph.
Why are stop words usually excluded from word clouds?

Stop words are extremely common function words like the, of, and, is, or it that carry little topical meaning. If they are left in, they dominate the visualization because they appear far more often than any content word, drowning out the signal you are actually trying to surface. Removing them is a standard preprocessing step in text mining and natural language processing.
How are words packed into a shape without overlapping?

Most word cloud algorithms use a spiral packing strategy. The largest, most frequent word is placed near the center first, then each subsequent word starts at the center and spirals outward, testing positions against the bounding boxes of already-placed words until it finds an empty spot. The process repeats until all words are placed or the canvas runs out of room.
What is the difference between PNG and SVG when exporting a word cloud?

PNG is a raster format made of pixels — it has a fixed resolution and will look pixelated if you enlarge it beyond its rendered size. SVG is a vector format that stores the words as mathematical shapes, so it can be scaled to any size without losing sharpness. SVG also stays editable in design tools, which makes it the better choice for print, posters, and presentations.
Why use square-root scaling for word sizes instead of raw frequency?

If word size is set directly proportional to frequency, the most common word becomes overwhelmingly large and everything else becomes nearly invisible — frequency in natural language follows a steep Zipfian distribution. Applying a square root (or logarithm) compresses that range so smaller words remain readable while the largest word still clearly dominates, producing a more balanced and aesthetically pleasing cloud.